F:\model 1\New folder\final.amw

Analysis Summary

Date and Time

Date: Wednesday, October 26, 2022
Time: 9:08:37 PM

Title

final: Wednesday, October 26, 2022 9:08 PM

Groups

Group number 1 (Group number 1)

Notes for Group (Group number 1)

The model is recursive.
Sample size = 28

Variable Summary (Group number 1)

Your model contains the following variables (Group number 1)

Observed, endogenous variables
star_rating
RMP_rating
F
DM
D
C
CP
BM
B
BP
AM
A
AP
Unobserved, exogenous variables
TE
e1
e2
Gf
e4
e5
e6
e7
e8
e9
e10
e11
e12
e13
e14

Variable counts (Group number 1)

Number of variables in your model: 28
Number of observed variables: 13
Number of unobserved variables: 15
Number of exogenous variables: 15
Number of endogenous variables: 13

Parameter Summary (Group number 1)

Weights Covariances Variances Means Intercepts Total
Fixed 16 0 0 15 0 31
Labeled 0 0 0 0 0 0
Unlabeled 10 5 15 0 13 43
Total 26 5 15 15 13 74

Assessment of normality (Group number 1)

Variable min max skew c.r. kurtosis c.r.
AP .000 4.000 1.683 3.636 2.588 2.795
A .000 4.000 .558 1.205 -.557 -.601
AM .000 2.000 1.322 2.855 .621 .671
BP .000 2.000 .773 1.670 -.556 -.600
B .000 3.000 .804 1.738 -.015 -.016
BM .000 2.000 2.253 4.867 4.292 4.636
CP .000 1.000 1.393 3.008 -.061 -.065
C .000 2.000 2.654 5.733 6.307 6.812
D .000 1.000 5.004 10.809 23.037 24.883
DM .000 1.000 5.004 10.809 23.037 24.883
F .000 4.000 4.257 9.197 17.668 19.083
RMP_rating 1.000 5.000 -.746 -1.612 -.280 -.303
star_rating 1.600 4.900 -.740 -1.599 1.069 1.155
Multivariate 34.346 4.601

Observations farthest from the centroid (Mahalanobis distance) (Group number 1)

Observation number Mahalanobis d-squared p1 p2
15 27.000 .012 .296
17 27.000 .012 .047
22 27.000 .012 .005
24 24.958 .023 .004
25 21.855 .058 .021
23 16.540 .221 .608
13 16.364 .230 .473
2 16.264 .235 .330
21 15.095 .301 .479
9 14.449 .343 .508
6 13.816 .387 .546
11 12.794 .464 .712
4 12.742 .468 .589
8 12.592 .480 .489
20 11.271 .588 .776
27 11.207 .593 .670
14 8.386 .818 .998
28 8.351 .820 .993
18 7.911 .849 .994
10 7.609 .868 .992
19 7.542 .872 .979
26 7.108 .897 .979
3 6.800 .912 .968
12 6.285 .935 .968
16 6.181 .939 .913
1 5.805 .953 .857
7 5.671 .957 .663
5 5.405 .965 .371

Sample Moments (Group number 1)

Sample Covariances (Group number 1)

AP A AM BP B BM CP C D DM F RMP_rating star_rating
AP .990
A -.224 1.490
AM -.173 -.031 .381
BP -.015 -.551 .026 .459
B -.240 -.383 -.059 .158 .668
BM .026 -.189 .023 .092 -.061 .240
CP -.046 -.046 -.084 -.015 .046 .061 .168
C -.056 -.020 .001 -.031 -.069 -.038 -.003 .218
D -.026 .010 -.014 -.020 -.028 -.008 .028 .029 .034
DM -.026 -.061 -.014 .051 .043 -.008 -.008 -.006 -.001 .034
F -.117 -.046 -.084 -.122 -.133 -.010 -.046 -.038 -.008 -.008 .597
RMP_rating .397 .115 .029 .099 -.095 .031 -.123 -.062 -.053 -.032 -.255 1.073
star_rating .076 .136 .007 .056 -.093 .058 -.042 -.069 .001 -.027 -.057 .568 .509
Condition number = 385.929
Eigenvalues
1.942 1.763 .976 .641 .516 .334 .253 .208 .112 .071 .028 .015 .005
Determinant of sample covariance matrix = .000

Sample Correlations (Group number 1)

AP A AM BP B BM CP C D DM F RMP_rating star_rating
AP 1.000
A -.185 1.000
AM -.282 -.041 1.000
BP -.023 -.666 .061 1.000
B -.295 -.383 -.116 .285 1.000
BM .052 -.316 .076 .277 -.153 1.000
CP -.112 -.092 -.332 -.055 .137 .305 1.000
C -.121 -.036 .004 -.097 -.180 -.167 -.013 1.000
D -.138 .045 -.122 -.162 -.185 -.084 .369 .338 1.000
DM -.138 -.270 -.122 .406 .286 -.084 -.101 -.074 -.037 1.000
F -.153 -.049 -.176 -.234 -.210 -.027 -.145 -.106 -.053 -.053 1.000
RMP_rating .385 .091 .046 .141 -.112 .061 -.289 -.129 -.277 -.165 -.318 1.000
star_rating .106 .156 .016 .116 -.160 .165 -.145 -.206 .010 -.206 -.103 .769 1.000
Condition number = 224.255
Eigenvalues
2.377 2.333 1.597 1.346 1.267 1.172 .936 .726 .574 .320 .249 .093 .011

Sample Means (Group number 1)

AP A AM BP B BM CP C D DM F RMP_rating star_rating
.714 1.714 .393 .571 .786 .214 .214 .179 .036 .036 .214 3.689 3.764

Models

Default model (Default model)

Notes for Model (Default model)

Computation of degrees of freedom (Default model)

Number of distinct sample moments: 104
Number of distinct parameters to be estimated: 43
Degrees of freedom (104 - 43): 61

Result (Default model)

Minimization was unsuccessful
The results that follow are therefore incorrect.
The model is probably unidentified. In order to achieve identifiability, it will probably be necessary to impose 2 additional constraints.

Group number 1 (Group number 1 - Default model)

Estimates (Group number 1 - Default model)

Scalar Estimates (Group number 1 - Default model)

The (probably) unidentified parameters are marked.

Regression Weights: (Group number 1 - Default model)
star_rating <--- TE
RMP_rating <--- TE unidentified
F <--- Gf unidentified
DM <--- Gf
D <--- Gf unidentified
C <--- Gf unidentified
CP <--- Gf unidentified
BM <--- Gf unidentified
B <--- Gf
BP <--- Gf unidentified
AM <--- Gf unidentified
A <--- Gf unidentified
AP <--- Gf unidentified

Intercepts: (Group number 1 - Default model)
star_rating unidentified
RMP_rating unidentified
F unidentified
DM unidentified
D unidentified
C unidentified
CP unidentified
BM unidentified
B unidentified
BP unidentified
AM unidentified
A unidentified
AP unidentified

Covariances: (Group number 1 - Default model)
Gf <--> TE unidentified
e10 <--> e14 unidentified
e10 <--> e11 unidentified
e10 <--> e13 unidentified
e4 <--> e10 unidentified

Variances: (Group number 1 - Default model)
TE unidentified
Gf unidentified
e1
e2
e4 unidentified
e5 unidentified
e6 unidentified
e7 unidentified
e8 unidentified
e9 unidentified
e10 unidentified
e11 unidentified
e12
e13
e14

Minimization History (Default model)

Iteration Negative
eigenvalues		 Condition # Smallest
eigenvalue		 Diameter F NTries Ratio
0 e 7 -.224 9999.000 225.665 0 9999.000
1 e 4 -.149 1.019 189.015 19 .949
2 e* 1 -.024 1.190 165.181 5 .680
3 e 1 -.169 .527 157.215 5 .820
4 e 1 -.072 .665 152.544 7 .893
5 e 2 -.056 1.331 143.980 4 .680
6 e 0 8512.234 .749 141.261 5 .689
7 e 1 -.019 .700 140.241 4 .000
8 e 1 -.047 .733 138.314 5 .628
9 e 1 -.008 .167 137.841 6 .572
10 e 1 -.029 .795 136.784 8 .776
11 e 1 -.007 .210 136.371 6 .667
12 e 1 -.063 1.002 135.448 8 .687
13 e 1 -.023 .184 135.065 7 .553
14 e 1 -.001 .512 134.338 8 .953
15 e 1 -.012 .357 133.902 6 .803
16 e 1 -.005 .599 133.247 6 .920
17 e 1 -.005 .284 132.916 6 .803
18 e 1 -.018 .891 132.141 7 .880
19 e 1 -.014 .256 131.872 6 .638
20 e 1 -.007 .666 131.280 8 .907
21 e 1 -.020 .346 130.973 6 .681
22 e 1 -.012 .596 130.511 8 .812
23 e 1 -.017 .309 130.245 7 .659
24 e 0 286790411.639 .589 129.748 9 .980
25 e 1 -.015 .517 129.373 9 .000
26 e 0 19978474.736 .414 129.009 5 1.025
27 e 1 -.019 .700 128.575 4 .000
28 e 1 -.002 .408 128.283 5 .911
29 e 1 -.014 .347 128.064 6 .750
30 e 1 -.003 .525 127.737 7 .898
31 e 1 -.006 .301 127.537 6 .813
32 e 1 -.005 .888 127.080 8 .933
33 e 1 -.010 .286 126.897 7 .740
34 e 1 -.003 .693 126.496 13 1.084
35 e 0 5244646233.588 1.508 125.912 4 1.022
36 e 1 -.003 .313 125.868 6 .000
37 e 1 -.009 .261 125.706 9 .765
38 e 1 -.001 .519 125.450 8 .913
39 e 1 -.012 .475 125.250 6 .777
40 e 1 -.012 .498 125.068 5 .630
41 e 1 -.005 .233 124.951 6 .659
42 e 1 -.012 .862 124.647 8 .795
43 e 1 -.007 .233 124.529 7 .638
44 e 1 -.002 .655 124.217 10 1.095
45 e 1 -.015 1.015 123.923 8 .782
46 e 1 -.002 .140 123.826 7 .699
47 e 1 -.023 .849 123.535 10 .954
48 e 1 .000 .286 123.386 5 .892
49 e 1 -.007 .407 123.239 6 .848
50 e 1 .000 .567 123.040 7 .978
51 e 1 -.018 .563 122.880 5 .716
52 e 0 20737585220.104 .302 122.739 6 .933
53 e 1 -.007 .597 122.554 8 .000
54 e 1 .000 .588 122.357 8 1.076
55 e 1 -.020 .723 122.173 9 .845
56 e 1 -.001 .296 122.051 5 .813
57 e 1 -.013 .496 121.924 6 .714
58 e 0 16985004900.921 .330 121.797 6 .967
59 e 1 -.031 .974 121.630 6 .000
60 e 0 6128753132.790 .165 121.473 5 1.034
61 e 1 -.013 1.777 121.145 3 .000
62 e 1 -.003 .156 121.053 8 .691
63 e 1 -.003 .598 120.893 8 .838
64 e 1 -.003 .390 120.791 5 .796
65 e 1 -.004 .747 120.633 6 .822
66 e 1 -.006 .356 120.549 6 .654
67 e 1 -.001 .595 120.411 8 .870
68 e 1 -.008 .510 120.301 6 .718
69 e 0 53669701834.527 .434 120.182 9 .987
70 e 1 -.015 .885 120.027 6 .000
71 e 0 39389521778.433 .236 119.935 7 .944
72 e 1 -.023 1.097 119.788 5 .000
73 e 0 53092996562.079 .210 119.670 5 .902
74 e 1 -.025 1.127 119.539 5 .000
75 e 0 32771574275.811 .195 119.411 5 .941
76 e 1 -.010 1.099 119.229 4 .000
77 e 0 71900376187.754 .293 119.150 6 .984
78 e 1 -.015 1.035 119.004 5 .000
79 e 1 .000 .261 118.923 6 .816
80 e 1 -.013 .696 118.831 4 .635
81 e 1 .000 .292 118.753 5 .804
82 e 1 -.016 .832 118.660 4 .551
83 e 1 .000 .236 118.569 5 .877
84 e 1 -.025 1.087 118.490 5 .403
85 e 0 593205657450.840 .235 118.359 5 .839
86 e 1 -.017 1.098 118.242 7 .000
87 e 0 167946289443.789 .216 118.152 5 .912
88 e 1 -.011 1.039 118.020 5 .000
89 e 1 .000 .258 117.955 4 .887
90 e 1 -.010 .750 117.865 4 .725
91 e 1 .000 .313 117.802 5 .796
92 e 1 -.004 .569 117.723 5 .808
93 e 1 -.001 .483 117.652 6 .877
94 e 1 -.011 .771 117.573 5 .594
95 e 1 .000 .260 117.505 5 .874
96 e 1 -.011 .898 117.412 4 .677
97 e 1 .000 .241 117.347 5 .892
98 e 1 -.006 .741 117.259 4 .812
99 e 1 .000 .343 117.204 5 .865
100 e 1 -.013 .906 117.131 4 .538
101 e 0 995617947806.884 .210 117.058 5 .911
102 e 1 -.013 1.181 116.954 6 .000
103 e 0 376543658145.997 .163 116.884 7 1.045
104 e 1 -.017 5.556 116.447 2 .000
105 e 1 -.002 .473 116.301 7 .567
106 e 1 -.006 .526 116.235 5 .565
107 e 1 -.001 .399 116.175 5 .702
108 e 1 -.005 .792 116.098 5 .713
109 e 1 -.001 .388 116.051 5 .754
110 e 1 -.003 .626 115.989 5 .780
111 e 1 .000 .470 115.937 6 .891
112 e 1 -.007 .841 115.870 5 .663
113 e 1 .000 .282 115.823 5 .849
114 e 1 -.010 .999 115.756 4 .602
115 e 0 5478977888227.480 .211 115.702 5 .916
116 e 1 -.004 .935 115.621 7 .000
117 e 0 6641661215665.680 .386 115.575 8 .982
118 e 1 -.005 1.004 115.493 7 .000
119 e 1 .000 .315 115.455 6 .866
120 e 1 -.005 .851 115.389 5 .782
121 e 1 .000 .334 115.352 5 .752
122 e 1 -.007 .854 115.296 5 .615
123 e 1 .000 .270 115.253 5 .827
124 e 1 -.004 .825 115.190 5 .785
125 e 1 .000 .330 115.154 5 .842
126 e 1 -.011 1.126 115.106 5 .430
127 e 1 .000 .288 115.042 5 .737
128 e 1 -.010 1.105 114.992 5 .456
129 e 1 .000 .250 114.933 5 .822
130 e 1 -.008 1.065 114.870 5 .646
131 e 1 .000 .229 114.827 5 .886
132 e 1 -.007 1.032 114.766 5 .697
133 e 1 .000 .240 114.727 5 .876
134 e 1 -.007 1.011 114.668 5 .688
135 e 1 .000 .247 114.630 5 .859
136 e 1 -.006 .990 114.573 5 .695
137 e 1 .000 .251 114.537 5 .860
138 e 1 -.006 .969 114.480 5 .716
139 e 1 .000 .255 114.447 5 .868
140 e 1 -.005 .948 114.391 5 .738
141 e 1 .000 .260 114.359 5 .876
142 e 1 -.005 .928 114.304 5 .757
143 e 1 .000 .324 114.274 5 .763
144 e 1 -.004 .794 114.225 4 .738
145 e 1 .000 .368 114.195 5 .771
146 e 1 -.006 .968 114.148 4 .590
147 e 1 .000 .228 114.111 5 .903
148 e 1 -.003 .919 114.057 5 .829
149 e 1 .000 .325 114.029 5 .859
150 e 1 -.010 1.264 113.993 5 .378
151 e 0 46388173476199.400 .214 113.933 4 .883
152 e 1 -.006 1.356 113.868 7 .000
153 e 0 13897146382058.000 .196 113.832 8 .999
154 e 1 -.004 1.347 113.758 5 .000
155 e 1 .000 .268 113.732 7 .925
156 e 1 -.005 1.087 113.681 5 .727
157 e 1 .000 .297 113.652 5 .754
158 e 1 -.007 1.095 113.611 5 .525
159 e 1 .000 .287 113.573 5 .749
160 e 1 -.005 1.070 113.528 5 .606
161 e 1 .000 .260 113.496 5 .826
162 e 1 -.004 1.041 113.448 5 .705
163 e 1 .000 .259 113.421 5 .857
164 e 1 -.004 1.018 113.374 5 .728
165 e 1 .000 .267 113.348 5 .852
166 e 1 -.004 1.000 113.303 5 .732
167 e 1 .000 .272 113.278 5 .849
168 e 1 -.004 .983 113.234 5 .742
169 e 1 .000 .276 113.210 5 .854
170 e 1 -.003 .965 113.166 5 .758
171 e 1 .000 .280 113.143 5 .862
172 e 1 -.003 .947 113.101 5 .773
173 e 1 .000 .285 113.078 5 .869
174 e 1 -.003 .931 113.036 5 .787
175 e 1 .000 .354 113.015 5 .754
176 e 1 -.002 .799 112.977 4 .763
177 e 1 .000 .403 112.955 5 .769
178 e 1 -.004 .977 112.917 4 .636
179 e 1 .000 .295 112.892 5 .799
180 e 1 -.007 1.308 112.858 5 .454
181 e 0 505167370615719.000 .209 112.817 4 .895
182 e 1 -.014 2.154 112.816 8 .000
183 e 1 .000 .153 112.709 5 1.013
184 e 0 57981855136957.600 1.189 112.654 6 1.009
185 e 1 -.013 2.965 112.622 4 .000
186 e 1 .000 .398 112.515 6 .691
187 e 1 -.004 1.084 112.480 5 .568
188 e 1 .000 .248 112.454 5 .853
189 e 1 -.003 1.036 112.414 5 .782
190 e 1 .000 .332 112.395 5 .778
191 e 1 -.002 .886 112.361 4 .761
192 e 1 .000 .400 112.343 5 .708
193 e 1 -.004 1.096 112.311 4 .532
194 e 1 .000 .251 112.285 5 .847
195 e 1 -.003 1.044 112.247 5 .785
196 e 1 .000 .332 112.229 5 .785
197 e 1 -.002 .892 112.196 4 .768
198 e 1 .000 .405 112.178 5 .707
199 e 1 -.004 1.105 112.148 4 .532
200 e 1 .000 .253 112.123 5 .842
201 e 1 -.002 1.054 112.086 5 .781
202 e 1 .000 .335 112.069 5 .777
203 e 1 -.002 .900 112.037 4 .765
204 e 1 .000 .406 112.020 5 .700
205 e 1 -.004 1.115 111.991 4 .531
206 e 1 .000 .255 111.966 5 .839
207 e 1 -.002 1.064 111.931 5 .779
208 e 1 .000 .337 111.914 5 .770
209 e 1 -.002 .910 111.884 4 .762
210 e 1 .000 .408 111.868 5 .692
211 e 1 -.004 1.127 111.840 4 .527
212 e 1 .000 .258 111.816 5 .835
213 e 1 -.002 1.075 111.782 5 .776
214 e 1 .000 .279 111.766 5 .881
215 e 1 -.002 1.055 111.733 5 .778
216 e 1 .000 .295 111.718 5 .840
217 e 1 -.002 1.044 111.686 5 .753
218 e 1 .000 .300 111.670 5 .819
219 e 1 -.002 1.031 111.640 5 .751
220 e 1 .000 .302 111.624 5 .822
221 e 1 -.002 1.016 111.594 5 .764
222 e 1 .000 .305 111.579 5 .832
223 e 1 -.002 1.001 111.549 5 .777
224 e 1 .000 .309 111.534 5 .841
225 e 1 -.002 .987 111.505 5 .789
226 e 1 .000 .313 111.491 5 .848
227 e 1 -.002 .973 111.462 5 .799
228 e 1 .000 .318 111.448 5 .855
229 e 1 -.004 1.326 111.420 5 .584
230 e 1 .000 .246 111.398 4 .831
231 e 1 -.002 1.111 111.368 5 .762
232 e 1 .000 .323 111.353 5 .758
233 e 1 -.003 1.112 111.325 5 .667
234 e 1 .000 .309 111.309 5 .751
235 e 1 -.002 1.097 111.281 5 .693
236 e 1 .000 .301 111.266 5 .787
237 e 1 -.002 1.078 111.238 5 .731
238 e 1 .000 .302 111.224 5 .808
239 e 1 -.002 1.062 111.196 5 .749
240 e 1 .000 .307 111.182 5 .813
241 e 1 -.002 1.048 111.155 5 .759
242 e 1 .000 .310 111.142 5 .817
243 e 1 -.002 1.034 111.115 5 .768
244 e 1 .000 .313 111.102 5 .823
245 e 1 -.002 1.020 111.076 5 .778
246 e 1 .000 .317 111.063 5 .830
247 e 1 -.002 1.007 111.037 5 .788
248 e 1 .000 .321 111.024 5 .837
249 e 1 -.001 .994 110.999 5 .798
250 e 1 .000 .325 110.987 5 .845
251 e 1 -.003 1.356 110.961 5 .585
252 e 1 .000 .254 110.942 4 .818
253 e 1 -.002 1.137 110.915 5 .755
254 e 1 .000 .333 110.903 5 .734
255 e 1 -.002 1.141 110.878 5 .656
256 e 1 .000 .319 110.864 5 .731
257 e 1 -.002 1.125 110.839 5 .684
258 e 1 .000 .309 110.826 5 .772
259 e 1 -.002 1.107 110.801 5 .724
260 e 1 .000 .309 110.788 5 .793
261 e 1 -.002 1.092 110.763 5 .743
262 e 1 .000 .313 110.751 5 .798
263 e 1 -.002 1.078 110.727 5 .751
264 e 1 .000 .316 110.715 5 .801
265 e 1 -.002 1.065 110.691 5 .760
266 e 1 .000 .319 110.679 5 .806
267 e 1 -.001 1.052 110.656 5 .770
268 e 1 .000 .322 110.645 5 .813
269 e 1 -.001 1.039 110.621 5 .779
270 e 1 .000 .326 110.610 5 .820
271 e 1 -.001 1.026 110.587 5 .789
272 e 1 .000 .329 110.576 5 .828
273 e 1 -.001 1.014 110.554 5 .798
274 e 1 .000 .333 110.543 5 .834
275 e 1 -.003 1.384 110.521 5 .587
276 e 1 .000 .263 110.504 4 .804
277 e 1 -.002 1.163 110.480 5 .749
278 e 1 .000 .345 110.469 5 .710
279 e 1 -.002 1.168 110.447 5 .647
280 e 1 .000 .329 110.435 5 .711
281 e 1 -.002 1.153 110.413 5 .677
282 e 1 .000 .316 110.401 5 .757
283 e 1 -.002 1.135 110.379 5 .719
284 e 1 .000 .316 110.367 5 .779
285 e 1 -.002 1.120 110.346 5 .738
286 e 1 .000 .320 110.335 5 .783
287 e 1 -.001 1.107 110.313 5 .745
288 e 1 .000 .323 110.303 5 .785
289 e 1 -.001 1.094 110.281 5 .752
290 e 1 .000 .326 110.271 5 .790
291 e 1 -.001 1.082 110.250 5 .761
292 e 1 .000 .328 110.240 5 .797
293 e 1 -.001 1.069 110.219 5 .771
294 e 1 .000 .331 110.209 5 .804
295 e 1 -.001 1.057 110.189 5 .780
296 e 1 .000 .334 110.179 5 .811
297 e 1 -.001 1.045 110.159 5 .789
298 e 1 .000 .338 110.150 5 .818
299 e 1 -.002 1.428 110.130 5 .571
300 e 1 .000 .273 110.114 4 .786
301 e 1 -.001 1.201 110.093 5 .732
302 e 1 .000 .356 110.083 5 .678
303 e 1 -.002 1.208 110.064 5 .624
304 e 1 .000 .340 110.052 5 .686
305 e 1 -.002 1.193 110.033 5 .657
306 e 1 .000 .323 110.022 5 .738
307 e 1 -.001 1.175 110.002 5 .705
308 e 1 .000 .322 109.992 5 .760
309 e 1 -.001 1.160 109.972 5 .723
310 e 1 .000 .326 109.962 5 .762
311 e 1 -.001 1.147 109.943 5 .729
312 e 1 .000 .329 109.933 5 .763
313 e 1 -.001 1.135 109.914 5 .736
314 e 1 .000 .331 109.905 5 .767
315 e 1 -.001 1.123 109.886 5 .745
316 e 1 .000 .333 109.877 5 .774
317 e 1 -.001 1.110 109.858 5 .755
318 e 1 .000 .335 109.849 5 .781
319 e 1 -.001 1.099 109.831 5 .764
320 e 1 .000 .338 109.822 5 .788
321 e 1 -.001 1.087 109.804 5 .773
322 e 1 .000 .340 109.795 5 .794
323 e 1 -.001 1.075 109.777 5 .781
324 e 1 .000 .343 109.769 5 .801
325 e 1 -.001 1.064 109.751 5 .789
326 e 1 .000 .346 109.743 5 .808
327 e 1 -.002 1.455 109.725 5 .575
328 e 1 .000 .282 109.712 4 .774
329 e 1 -.001 1.225 109.693 5 .728
330 e 1 .000 .368 109.684 5 .655
331 e 1 -.002 1.235 109.667 5 .616
332 e 1 .000 .351 109.657 5 .667
333 e 1 -.001 1.220 109.640 5 .652
334 e 1 .000 .332 109.630 5 .723
335 e 1 -.001 1.202 109.612 5 .701
336 e 1 .000 .330 109.604 5 .746
337 e 1 -.001 1.188 109.586 5 .719
338 e 1 .000 .334 109.578 5 .746
339 e 1 -.001 1.176 109.560 5 .723
340 e 1 .000 .337 109.552 5 .746
341 e 1 -.001 1.164 109.535 5 .729
342 e 1 .000 .338 109.527 5 .750
343 e 1 -.001 1.152 109.510 5 .738
344 e 1 .000 .341 109.502 5 .757
345 e 1 -.001 1.141 109.485 5 .747
346 e 1 .000 .342 109.477 5 .764
347 e 1 -.001 1.129 109.461 5 .756
348 e 1 .000 .344 109.453 5 .771
349 e 1 -.001 1.118 109.437 5 .766
350 e 1 .000 .348 109.429 5 .775
351 e 1 -.001 1.107 109.413 5 .771
352 e 1 .000 .349 109.406 5 .783
353 e 1 -.001 1.096 109.390 5 .780
354 e 1 .000 .352 109.382 5 .789
355 e 1 -.001 1.085 109.367 5 .788
356 e 1 .000 .354 109.360 5 .796
357 e 1 -.002 1.485 109.344 5 .574
358 e 1 .000 .291 109.332 4 .759
359 e 1 -.001 1.252 109.316 5 .722
360 e 1 .000 .382 109.308 5 .628
361 e 1 -.001 1.264 109.293 5 .605
362 e 1 .000 .362 109.284 5 .647
363 e 1 -.001 1.249 109.268 5 .644
364 e 1 .000 .340 109.260 5 .709
365 e 1 -.001 1.231 109.244 5 .696
366 e 1 .000 .338 109.237 5 .732
367 e 1 -.001 1.218 109.221 5 .713
368 e 1 .000 .344 109.213 5 .728
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23051 e 1 -1461130.041 .000 102.175 2 1.000
23052 e 1 -1461130.218 .000 102.175 2 1.000
23053 e 2 -1461130.128 .000 102.175 2 1.000
23054 e 1 -1461130.135 .000 102.175 2 1.000
23055 e 2 -1461129.998 .000 102.175 2 1.000
23056 e 2 -1461129.981 .000 102.175 2 1.000
23057 e 2 -1461129.867 .000 102.175 2 1.000
23058 e 1 -1461129.899 .000 102.175 2 1.000
23059 e 1 -1461129.882 .000 102.175 2 1.000
23060 e 2 -1461129.889 .000 102.175 2 1.000
23061 e 2 -1461129.993 .000 102.175 2 1.000
23062 e 1 -1461130.001 .000 102.175 2 1.000
23063 e 2 -1461129.984 .000 102.175 2 1.000
23064 e 2 -1461129.895 .000 102.175 2 1.000
23065 e 2 -1461129.829 .000 102.175 2 1.000
23066 e 1 -1461129.740 .000 102.175 2 1.000
23067 e 2 -1461129.844 .000 102.175 2 1.000
23068 e 2 -1461129.779 .000 102.175 2 1.000
23069 e 1 -1461129.835 .000 102.175 2 1.000
23070 e 1 -1461129.818 .000 102.175 2 1.000
23071 e 2 -1461129.753 .000 102.175 2 1.000
23072 e 2 -1461129.761 .000 102.175 2 1.000
23073 e 1 -1461129.744 .000 102.175 2 1.000
23074 e 2 -1461129.727 .000 102.175 2 1.000
23075 e 2 -1461129.614 .000 102.175 2 1.000
23076 e 2 -1461129.670 .000 102.175 2 1.000
23077 e 1 -1461129.629 .000 102.175 2 1.000
23078 e 2 -1461129.685 .000 102.175 2 1.000
23079 e 2 -1461129.571 .000 102.175 2 1.000
23080 e 1 -1461129.700 .000 102.175 2 1.000
23081 e 2 -1461129.684 .000 102.175 2 1.000
23082 e 1 -.025 .000 102.175 2 1.000
23083 e 2 -5641926.459 .000 102.175 23 1.000
23084 e 2 -5641928.492 .000 102.175 4 1.000
23085 e 2 -5641928.492 .000 102.175 11 1.000
23086 e 2 -5641928.492 .000 102.175 11 1.000
23087 e 2 -5641928.492 .000 102.175 11 1.000
23088 e 2 -5641928.492 .000 102.175 11 1.000

Model Fit Summary

CMIN

Model NPAR CMIN DF P CMIN/DF
Saturated model 104 .000 0
Independence model 26 203.139 78 .000 2.604

Baseline Comparisons

Model NFI
Delta1		 RFI
rho1		 IFI
Delta2		 TLI
rho2		 CFI
Saturated model 1.000 1.000 1.000
Independence model .000 .000 .000 .000 .000

Parsimony-Adjusted Measures

Model PRATIO PNFI PCFI
Saturated model .000 .000 .000
Independence model 1.000 .000 .000

NCP

Model NCP LO 90 HI 90
Saturated model .000 .000 .000
Independence model 125.139 86.774 171.180

FMIN

Model FMIN F0 LO 90 HI 90
Saturated model .000 .000 .000 .000
Independence model 7.524 4.635 3.214 6.340

RMSEA

Model RMSEA LO 90 HI 90 PCLOSE
Independence model .244 .203 .285 .000

AIC

Model AIC BCC BIC CAIC
Saturated model 208.000 432.000
Independence model 255.139 311.139

ECVI

Model ECVI LO 90 HI 90 MECVI
Saturated model 7.704 7.704 7.704 16.000
Independence model 9.450 8.029 11.155 11.524

HOELTER

Model HOELTER
.05		 HOELTER
.01
Independence model 14 15

Execution time summary

Minimization: 26.958
Miscellaneous: .242
Bootstrap: .000
Total: 27.200